BELNUC 2025: Clinical Progress of Nuclarity in Low-Count PET Imaging
May 16, 2025
Nuclivision presented new data on low-count PET imaging using Nuclarity at the BELNUC 2025 Symposium in Bruges. Both oral and poster presentations highlighted the software’s generalizability across tracers and clinical sites.
Clinical Validation at BELNUC 2025
At the 23rd BELNUC Symposium, Nuclivision shared new clinical evidence supporting Nuclarity’s role in PET image enhancement.
Maarten Larmuseau, cofounder of Nuclivision, presented results from a multicenter, multi-tracer study showing how Nuclarity improves low-count PET images — enabling shorter scan times and lower doses. The talk, titled "Low-count whole-body PET with deep learning in a multicenter, multi-tracer and externally validated study", underscored the robustness of the algorithm across clinical sites and tracers.
A poster on "Generalizing Deep Learning Denoising for Novel PET Radiotracers to Improve Image Quality" further demonstrated Nuclarity’s performance on tracers beyond 18F-FDG.
We also welcomed discussions at our booth with clinicians and researchers interested in clinical integration of PET denoising tools.
